{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "assigned-custom",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import paddle\n",
    "from paddle import nn\n",
    "from SimpleNet import SimpleNet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "bridal-contents",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
      "  and should_run_async(code)\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "creative-niger",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
      "  and should_run_async(code)\n"
     ]
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "finnish-catalyst",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-04-02 22:27:47,226 - INFO - unique_endpoints {''}\n",
      "2021-04-02 22:27:47,227 - INFO - File /home/dandelight/.cache/paddle/hapi/weights/resnet152.pdparams md5 checking...\n",
      "2021-04-02 22:27:47,946 - INFO - Found /home/dandelight/.cache/paddle/hapi/weights/resnet152.pdparams\n"
     ]
    }
   ],
   "source": [
    "model = SimpleNet()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "potential-going",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/paddle/nn/layer/norm.py:648: UserWarning: When training, we now always track global mean and variance.\n",
      "  \"When training, we now always track global mean and variance.\")\n"
     ]
    }
   ],
   "source": [
    "random_image_batch = paddle.rand([1, 3, 224, 224])\n",
    "prediction = model(random_image_batch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "indonesian-latest",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'paddle.VarBase'>\n",
      "(1, 1000)\n"
     ]
    }
   ],
   "source": [
    "print(type(prediction))\n",
    "print(prediction.numpy().shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "relative-silence",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f13a9bb7210>]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(prediction.numpy()[0], 'bo', ms=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "brave-smart",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
      "  and should_run_async(code)\n"
     ]
    }
   ],
   "source": [
    "im = Image.open('flower.jpg').resize((224, 224))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "offshore-commonwealth",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'RGB'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im.mode"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "sticky-decimal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(224, 224, 3)"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im_array = np.array(im)\n",
    "im_array.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "better-gossip",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f1382ca8950>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(im_array)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "renewable-nevada",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1, 3, 224, 224]\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/paddle/nn/layer/norm.py:648: UserWarning: When training, we now always track global mean and variance.\n",
      "  \"When training, we now always track global mean and variance.\")\n"
     ]
    }
   ],
   "source": [
    "im_array = im_array.reshape((1, 3, 224, 224))\n",
    "im_tensor = paddle.to_tensor(im_array, dtype='float32')\n",
    "print(im_tensor.shape)\n",
    "whoami = model(im_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "central-strand",
   "metadata": {},
   "outputs": [],
   "source": [
    "disaster = im_array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "continued-canvas",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2021-04-02 22:27:52,319 - INFO - unique_endpoints {''}\n",
      "2021-04-02 22:27:52,320 - INFO - File /home/dandelight/.cache/paddle/hapi/weights/resnet152.pdparams md5 checking...\n",
      "2021-04-02 22:27:52,920 - INFO - Found /home/dandelight/.cache/paddle/hapi/weights/resnet152.pdparams\n"
     ]
    }
   ],
   "source": [
    "_resnet = paddle.vision.models.resnet152(pretrained=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "warming-brunswick",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "assert(random_image_batch.numpy().shape == im_tensor.numpy().shape)\n",
    "assert(random_image_batch.dtype == im_tensor.dtype)\n",
    "predict1 = _resnet(random_image_batch)\n",
    "predict2 = _resnet(im_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "alternate-transformation",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(predict2.numpy()[0], 'bo', ms=.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "international-aluminum",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
      "  and should_run_async(code)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "600\n",
      "600\n"
     ]
    }
   ],
   "source": [
    "print(np.argmax(predict1[0]))\n",
    "print(np.argmax(predict2[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "consolidated-election",
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_image(path):\n",
    "    \"\"\"Read an image and return a tensor.\n",
    "    Arg:\n",
    "        path (str): Path to the image.\n",
    "    Returns:\n",
    "        An image tensor of shape (1, 3, 224, 224).\n",
    "    \"\"\"\n",
    "    im = Image.open(path).resize((224, 224))\n",
    "    im = np.array(im).reshape(1, 3, 224, 224)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "bright-howard",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3, 224, 224)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correct_im = np.array(tuple(map(np.array, im.split()))).astype('float32')\n",
    "correct_im.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "pressed-savage",
   "metadata": {},
   "outputs": [],
   "source": [
    "correct_im.shape = (1, 3, 224, 224)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "surrounded-amazon",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dtype('float32')"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correct_im.dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "patient-adult",
   "metadata": {},
   "outputs": [],
   "source": [
    "correct_im_tensor = paddle.to_tensor(correct_im)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "closing-ballet",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/paddle/nn/layer/norm.py:648: UserWarning: When training, we now always track global mean and variance.\n",
      "  \"When training, we now always track global mean and variance.\")\n"
     ]
    }
   ],
   "source": [
    "predict3 = _resnet(correct_im_tensor)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "intelligent-breach",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 1000]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "predict3.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "aerial-robin",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f138118c990>]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(predict3.numpy()[0], 'bo', ms=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "weekly-wells",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "463"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argmax(predict3[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "certified-courtesy",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_image(img):\n",
    "    \"\"\"\n",
    "    最后的一个Transpose将HWC格式的图片转换为CHW格式的图片。\n",
    "    \"\"\"\n",
    "    from paddle.vision.transforms import Compose, Resize, Normalize, Transpose\n",
    "    transform = Compose([\n",
    "        Resize(size=(224, 224)),\n",
    "        Normalize(mean=[127.5, 127.5, 127.5], std=[127.5, 127.5, 127.5],\n",
    "                 data_format='HWC'),\n",
    "        Transpose(),\n",
    "    ])\n",
    "    img = transform(img).astype('float32')\n",
    "    return img"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "broadband-syndicate",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGB size=224x224 at 0x7F139A64B4D0>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "im"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "sealed-active",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 3, 224, 224) float32\n"
     ]
    }
   ],
   "source": [
    "preprocessed = preprocess_image(im)\n",
    "preprocessed.shape = (1, 3, 224, 224)\n",
    "print(preprocessed.shape, preprocessed.dtype)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "indoor-louis",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "463\n"
     ]
    }
   ],
   "source": [
    "prepro_tensor = paddle.to_tensor(preprocessed)\n",
    "predict4 = _resnet(prepro_tensor)\n",
    "print(np.argmax(predict4[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "creative-ability",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1381172710>]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(predict4.numpy()[0], 'bo', ms=.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "delayed-equipment",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dandelight/.conda/envs/paddle/lib/python3.7/site-packages/ipykernel/ipkernel.py:287: DeprecationWarning: `should_run_async` will not call `transform_cell` automatically in the future. Please pass the result to `transformed_cell` argument and any exception that happen during thetransform in `preprocessing_exc_tuple` in IPython 7.17 and above.\n",
      "  and should_run_async(code)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "463"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.argmax(predict4[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "infectious-hopkins",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "600\n"
     ]
    }
   ],
   "source": [
    "blank = paddle.to_tensor(np.zeros(shape=(1, 3, 244, 244), dtype='float32'))\n",
    "predict_blank = _resnet(blank)\n",
    "print(np.argmax(predict_blank[0]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "intimate-magnitude",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7f1380cbd610>]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(predict_blank.numpy()[0], 'bo', ms=.5)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
